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Evading Anti-Malware Engines With Deep Reinforcement Learning

IEEE access, 2019, Vol.7, p.48867-48879

2019

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VulMPFF: A Vulnerability Detection Method for Fusing Code Features in Multiple Perspectives

IET information security, 2024-03, Vol.2024, p.1-15

2024

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Feature Selection for Malware Detection Based on Reinforcement Learning

IEEE access, 2019, Vol.7, p.176177-176187

2019

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A Systematic Overview of Android Malware Detection

Applied artificial intelligence, 2022-12, Vol.36 (1)

2022

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The lightning striking probability for offshore wind turbine blade with salt fog contamination

Journal of applied physics, 2017-08, Vol.122 (7)

2017

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BBDetector: A Precise and Scalable Third-Party Library Detection in Binary Executables with Fine-Grained Function-Level Features

Applied sciences, 2023-01, Vol.13 (1), p.413

2023

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An Empirical Study of the Code Generation of Safety-Critical Software Using LLMs

Applied sciences, 2024-01, Vol.14 (3), p.1046

2024

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A Comparative Study on Damage Mechanism of Sandwich Structures with Different Core Materials under Lightning Strikes

Energies (Basel), 2017-10, Vol.10 (10), p.1594

2017

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Earthquake Escape Simulator: A System for Disaster Knowledge Popularization

Journal of physics. Conference series, 2022-08, Vol.2333 (1), p.12002

2022

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LMTracker: Lateral movement path detection based on heterogeneous graph embedding

Neurocomputing (Amsterdam), 2022-02, Vol.474, p.37-47

2022

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A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learning

Applied soft computing, 2021-09, Vol.109, p.107505, Article 107505

2021

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Enhancing software modularization via semantic outliers filtration and label propagation

Information and software technology, 2022-05, Vol.145, p.106818, Article 106818

2022

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DroidRL: Feature selection for android malware detection with reinforcement learning

Computers & security, 2023-05, Vol.128, p.103126, Article 103126

2023

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Engineering equipment conceptual design methodology: using function units configuration and schemes iterative solution

Journal of engineering design, 2024-01, Vol.35 (1), p.89-125

2024

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A survey of strategy-driven evasion methods for PE malware: Transformation, concealment, and attack

Computers & security, 2024-02, Vol.137, p.103595, Article 103595

2024

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EvadeRL: Evading PDF Malware Classifiers with Deep Reinforcement Learning

Security and communication networks, 2022-04, Vol.2022, p.1-14

2022

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HGVul: A Code Vulnerability Detection Method Based on Heterogeneous Source-Level Intermediate Representation

Security and communication networks, 2022-04, Vol.2022, p.1-13

2022

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Experimental Study on Lightning Attachment Manner to Wind Turbine Blades With Lightning Protection System

IEEE transactions on plasma science, 2019-01, Vol.47 (1), p.635-646

2019

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A New Software Birthmark based on Weight Sequences of Dynamic Control Flow Graph for Plagiarism Detection

Computer journal, 2018-08, Vol.61 (8), p.1202-1215

2018

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A new method for spatial allocation of turbines in a wind farm based on lightning protection efficiency

Wind energy (Chichester, England), 2019-10, Vol.22 (10), p.1310-1323

2019

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Research on Temperature Field of Adhesive Layer Modified by High-Current Pulsed Electron Beams

Cai liao bao hu, 2024-02, Vol.57 (2), p.92-97

FANG Yang, ZHANG Zhiyang

2024

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Utilizing benign files to obfuscate malware via deep reinforcement learning

2022 4th International Conference on Intelligent Information Processing (IIP), 2022, p.293-297

2022

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The Influence of the Metal Mesh to the Attachment Manner of CFRP Wind Turbine Blades

2019 11th Asia-Pacific International Conference on Lightning (APL), 2019, p.1-4

2019

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MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-8

2021

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Web-Based Software Reliability Analysis and Measurement System

Applied Informatics and Communication, p.664-670

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Evading Anti-Malware Engines With Deep Reinforcement Learning

VulMPFF: A Vulnerability Detection Method for Fusing Code Features in Multiple Perspectives

Feature Selection for Malware Detection Based on Reinforcement Learning

A Systematic Overview of Android Malware Detection

The lightning striking probability for offshore wind turbine blade with salt fog contamination

BBDetector: A Precise and Scalable Third-Party Library Detection in Binary Executables with Fine-Grained Function-Level Features

An Empirical Study of the Code Generation of Safety-Critical Software Using LLMs

A Comparative Study on Damage Mechanism of Sandwich Structures with Different Core Materials under Lightning Strikes

Earthquake Escape Simulator: A System for Disaster Knowledge Popularization

LMTracker: Lateral movement path detection based on heterogeneous graph embedding

A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learning

Enhancing software modularization via semantic outliers filtration and label propagation

DroidRL: Feature selection for android malware detection with reinforcement learning

Engineering equipment conceptual design methodology: using function units configuration and schemes iterative solution

A survey of strategy-driven evasion methods for PE malware: Transformation, concealment, and attack

EvadeRL: Evading PDF Malware Classifiers with Deep Reinforcement Learning

HGVul: A Code Vulnerability Detection Method Based on Heterogeneous Source-Level Intermediate Representation

Experimental Study on Lightning Attachment Manner to Wind Turbine Blades With Lightning Protection System

A New Software Birthmark based on Weight Sequences of Dynamic Control Flow Graph for Plagiarism Detection

A new method for spatial allocation of turbines in a wind farm based on lightning protection efficiency

Research on Temperature Field of Adhesive Layer Modified by High-Current Pulsed Electron Beams

Utilizing benign files to obfuscate malware via deep reinforcement learning

The Influence of the Metal Mesh to the Attachment Manner of CFRP Wind Turbine Blades

MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price

Web-Based Software Reliability Analysis and Measurement System

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